Special Issue "Multiphysics Simulation and Optimization of Electrical Energy Systems"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 10 December 2022 | Viewed by 3968

Special Issue Editors

Dr. Majid Astaneh
E-Mail Website
Guest Editor
Department of Mechanics and Maritime Sciences, Divisions of VEAS and Fluid Dynamics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden
Interests: electric vehicles; renewable energy systems; multiphysics simulation and optimization; li-ion batteries; electrochemical energy conversion
Special Issues, Collections and Topics in MDPI journals
Dr. Andrew McGordon
E-Mail Website
Guest Editor
WMG, University of Warwick, Coventry CV4 7AL, UK
Interests: component sizing; batteries; systems modelling; powertrain modelling; supervisory control; powertrain usage cases
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrical energy systems have faced a paradigm shift in recent years towards zero-carbon systems made up of a group of sub-systems, where the interactions between the length scales, domains, and components is challenging and of the utmost importance. The multiphysics modeling approach is categorized as an interdisciplinary field of research which comprises diverse science and engineering disciplines to account for multiple physical models or concurrent physical phenomena within a larger system.

To deal with the existing research challenges, original studies, advanced modeling methods, and implementation techniques can be developed to efficiently execute the multiphysics and multiscale approaches in the modeling frameworks of the electrical energy systems. In consequence, this Special Issue aims to cover the studies in this field with emphasis on the electric mobility applications (road, heavy-duty, and off-road vehicles) and renewable energy systems (photovoltaic and wind). For instance, in the battery or fuel-cell-powered systems, encapsulating the physico-chemical, electrical, and thermal domains is crucial to accurately and robustly capture the underlying phenomena that occur under the real world operation of the system. The computationally efficient multiphysics models can afterwards be integrated with the optimization techniques to develop comprehensive and reliable component sizing or optimal control frameworks at the system level. Thus, researchers are invited to submit their articles to this Special Issue and contribute their models, methodologies, reviews, and studies in this area.


Dr. Majid Astaneh
Dr. Andrew McGordon
Prof. Dr. Vítor Monteiro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Electric/hybrid vehicles (road, heavy-duty and off-road)
  • Renewable energy systems
  • Multiphysiscs simulation and optimization
  • Battery storage
  • Supercapacitors
  • Fuel cells
  • Optimal control
  • Battery management systems
  • Power electronics converters
  • Powertrain modeling
  • Component sizing
  • Smart grids
  • Hybrid ac/dc power grids
  • Sustainable power electronics applications
  • Charging and traction systems for electric mobility applications
  • Power quality
  • Load-shift systems

Published Papers (4 papers)

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Research

Article
Research and Application of MPPT Control Strategy Based on Improved Slime Mold Algorithm in Shaded Conditions
Electronics 2022, 11(14), 2122; https://doi.org/10.3390/electronics11142122 - 06 Jul 2022
Cited by 1 | Viewed by 293
Abstract
A PV maximum power tracking strategy for shaded conditions, based on an improved slime mold algorithm, is proposed in this research. To verify the superiority of the proposed algorithm, four bionomics algorithms—particle swarm optimization (PSO), tuna swarm optimization (TSO), squirrel search algorithm (SSA), [...] Read more.
A PV maximum power tracking strategy for shaded conditions, based on an improved slime mold algorithm, is proposed in this research. To verify the superiority of the proposed algorithm, four bionomics algorithms—particle swarm optimization (PSO), tuna swarm optimization (TSO), squirrel search algorithm (SSA), and black widow spider algorithm (BWO)—were compared. The output parameter of the five control algorithms was summarized and analyzed. The adaptability of the algorithms was proven by setting different shading conditions. The simulation results demonstrated that the proposed algorithm possessed short response time, good tracking effect and fewer fluctuations. Eventually, the different algorithms were verified in the HIL + RCP physical platform. The experimental outcomes showed that the improved slime mold algorithm possessed the best tracking effect, with fewer power fluctuations. Full article
(This article belongs to the Special Issue Multiphysics Simulation and Optimization of Electrical Energy Systems)
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Article
Techno-Economic and Environmental Assessment of the Hybrid Energy System Considering Electric and Thermal Loads
Electronics 2021, 10(24), 3136; https://doi.org/10.3390/electronics10243136 - 16 Dec 2021
Cited by 1 | Viewed by 827
Abstract
Optimal sizing of hybrid energy systems has been considerably investigated in previous studies. Nevertheless, most studies only focused on providing AC electric loads by renewable energy sources (RESs) and energy storage systems (ESSs). In this paper, a hybrid energy system, including photovoltaic (PV) [...] Read more.
Optimal sizing of hybrid energy systems has been considerably investigated in previous studies. Nevertheless, most studies only focused on providing AC electric loads by renewable energy sources (RESs) and energy storage systems (ESSs). In this paper, a hybrid energy system, including photovoltaic (PV) system, ESS, fuel cell (FC), natural gas (NG) boiler, thermal load controller (TLC), and converter is optimized for supplying different load demands. Three scenarios are introduced to investigate the feasibility of the energy system. Environmental aspects of each system are analyzed, as there are NG-consuming sources in the system structure. A sensitivity analysis is conducted on the influential parameters of the system, such as inflation rate and interest rate. Simulation results show that the proposed hybrid energy system is economically and technically feasible. The net present cost (NPC) and cost of energy (COE) of the system are obtained at $230,223 and $0.0409, respectively. The results indicate that the TLC plays a key role in the optimal operation of the PV system and the reduction in greenhouse gas emission productions. Full article
(This article belongs to the Special Issue Multiphysics Simulation and Optimization of Electrical Energy Systems)
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Article
A Multiphysics System-to-Cell Framework to Assess the Impact of Operating Conditions of Standalone PV Systems on Lithium-Ion Battery Lifetime
Electronics 2021, 10(21), 2582; https://doi.org/10.3390/electronics10212582 - 22 Oct 2021
Viewed by 805
Abstract
This paper proposes a multiphysics simulation structure for predicting Li-ion batteries’ useful life by consolidating battery cell electrochemical and thermal-aging models into the electrical domain of PV-battery standalone systems. This model can consider the effect of operating conditions at the system level, such [...] Read more.
This paper proposes a multiphysics simulation structure for predicting Li-ion batteries’ useful life by consolidating battery cell electrochemical and thermal-aging models into the electrical domain of PV-battery standalone systems. This model can consider the effect of operating conditions at the system level, such as charge/discharge patterns and energy management strategies, to evaluate battery capacity fade at the cell level. The proposed model is validated using experimental observations with a RRMSE of 1.1%. Results show that the operating conditions of the battery bank affect its lifetime significantly. A wide range of 2.7 to 12.5 years of battery lifetime is predicted by applying the model to different case studies. In addition, the model predicts that managing the maximum cell state of charge level can enhance the battery bank lifetime by 60%. The developed model is a generic multiscale decision-making framework to investigate the effect of operating conditions on battery service life. Full article
(This article belongs to the Special Issue Multiphysics Simulation and Optimization of Electrical Energy Systems)
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Article
Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources
Electronics 2021, 10(4), 403; https://doi.org/10.3390/electronics10040403 - 07 Feb 2021
Cited by 24 | Viewed by 1183
Abstract
Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) [...] Read more.
Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) for efficient energy management in the electric system. The aim of the paper is to solve the energy management of a micro-grid (MG) connected to the main power system considering the variations of load demand, photovoltaic (PV), and wind turbine (WT) under deterministic and probabilistic conditions. The energy management problem is solved using an efficient algorithm, namely equilibrium optimizer (EO), for a multi-objective function which includes cost minimization, voltage profile improvement, and voltage stability improvement. The simulation results reveal that the optimal installation of a grid-connected PV unit and WT can considerably reduce the total cost and enhance system performance. In addition to that, EO is superior to both whale optimization algorithm (WOA) and sine cosine algorithm (SCA) in terms of the reported objective function. Full article
(This article belongs to the Special Issue Multiphysics Simulation and Optimization of Electrical Energy Systems)
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